Chronic postsurgical pain increases postoperative depression risk.

Purpose: This retrospective cohort study aimed to investigate the association between chronic postsurgical pain (CPSP) and the risk of postoperative depression in patients undergoing major surgery.

Methods: Data from Taiwan's National Health Insurance Research Database were analysed for patients aged over 20 years who underwent major surgery between 2004 and 2018. CPSP was defined as the use of prescribed analgesics for over 3 months postsurgery, with a prescription exceeding 90 cumulative defined daily doses.

Epithelium-derived exosomal dipeptidyl peptidase-4 involved in arecoline-induced oral submucous fibrosis.

Introduction: Dipeptidyl peptidase-4 is known to be involved in the progression of several fibrogenic diseases, but its association with oral submucous fibrosis remains unclear. This study aims to ascertain whether dipeptidyl peptidase-4 plays a role in the pathogenesis of arecoline-induced oral submucous fibrosis.

Methods: We assessed the expression of dipeptidyl peptidase-4 in arecoline-treated epithelial cells and the exosomes derived from cells.

Erythropoietin treatment and osteoporotic fracture risk in hemodialysis patients: A nationwide population-based study.

Objectives: Concerns about erythropoietin (EPO) therapy for anemia in patients with end-stage renal disease (ESRD) contributing to potential bone loss and increased fracture risks are growing. This study investigated the impact of EPO administration on the risk of common osteoporotic fractures in ESRD patients.

Methods: This population-based retrospective cohort study compared EPO users and non-EPO users among ESRD patients undergoing hemodialysis, diagnosed with ESRD between 2000 and 2014 identified from the National Health Insurance Research Database of Taiwan.

Driver identification in advanced transportation systems using osprey and salp swarm optimized random forest model.

Enhancement of security, personalization, and safety in advanced transportation systems depends on driver identification. In this context, this work suggests a new method to find drivers by means of a Random Forest model optimized using the osprey optimization algorithm (OOA) for feature selection and the salp swarm optimization (SSO) for hyperparameter tuning based on driving behavior. The proposed model achieves an accuracy of 92%, a precision of 91%, a recall of 93%, and an F1-score of 92%, significantly outperforming traditional machine learning models such as XGBoost, CatBoost, and Support Vector Machines.

The role of socioeconomic factors in sex differences in intrinsic capacity among older adults: A cross-sectional study in Taiwan.

Objectives: The World Health Organization's Integrated Care for Older People (ICOPE) framework launched in 2019 is used to assess the intrinsic capacity of older individuals. Older women may face greater socioeconomic disadvantages, which can impact their physical and mental well-being. Therefore, we examined sex differences in intrinsic capacity and the influence of socioeconomic status.

Evaluating the Efficacy and Safety of Halo-Femoral Traction and Halo-Gravity Traction Techniques in Severe Kyphoscoliosis With Spinal Cord Risk Classification (SCRC) Type 3 Over the Apex.

Study Design: Retrospective cohort study.

Objective: To analyze the efficacy and safety of Halo-femoral traction (HFT) following spinal release, and preoperative Halo-gravity traction (HGT) in patients with severe spinal kyphoscoliosis and spinal cord risk classification (SCRC) type 3 at the apex.

Methods: A total of 73 patients (24 males, 49 females, mean age 22.

Exosomes as promising frontier approaches in future cancer therapy.

In this editorial, we will discuss the article by Tang published in the recent issue of the . They explored an innovative approach to enhancing gemcitabine (GEM) delivery and efficacy using human bone marrow mesenchymal stem cells (HU-BMSCs)-derived exosomes. The manufacture of GEM-loaded HU-BMSCs-derived exosomes (Exo-GEM) has been optimized.

Retraction notice to "Green synthesis and characterization of titanium dioxide nanoparticles using leaf extract of Pouteria campechiana and larvicidal and pupicidal activity on Aedes aegypti" [Environ. Res. 200 (2021) 111333].

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).

Creating an extracellular matrix-like three-dimension structure to enhance the corrosion resistance and biological responses of titanium implants.

Background/purpose: Titanium (Ti) is extensively used in dental and orthopedic implants due to its excellent mechanical properties. However, its smooth and biologically inert surface does not support the ingrowth of new bone, and Ti ions may have adverse biological effects. The purpose is to improve the corrosion resistance of titanium and create a 3D structured coating to enhance osseointegration through a very simple and fast surface treatment.

Corrigendum to "Chinese herbal medicine may reduce major adverse cardiovascular events in patients with dialysis hypotension: A Taiwan nationwide cohort study" [J Tradit Complementary Med 14, Issue 5 (September 2024), 550-557].

[This corrects the article DOI: 10.1016/j.jtcme.

The Optimal Dosage and Duration of Omega-3 Polyunsaturated Fatty Acid Supplementation in Heart Failure Management: Evidence from a Network Meta-Analysis.

Heart failure is a progressive condition associated with a high mortality rate. Despite advancements in treatment, many patients continue to experience less-than-ideal outcomes. Omega-3 polyunsaturated fatty acids (n-3 PUFAs) have been studied as a potential supplementary therapy for heart failure, but the optimal dosage and duration of supplementation remain unclear.

Association between preconception and early pregnancy exposure to fine particulate matter and nervous system anomalies: a nested case-control study.

Although several environmental factors may increase the risk of nervous system anomalies, the association between exposure to particulate matter with an aerodynamic diameter of ≤ 2.5 μm (PM) and nervous system anomalies is not completely understood. This study aimed to examine the association between expoure to PM and nervous system anomalies, including specific phenotypes during preconception and early pregnancy and determine the crucial time windows.

Application of deep learning in automated localization and interpretation of coronary artery calcification in oncological PET/CT scans.

Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often underreported in cancer patients undergoing non-gated CT or PET/CT scans. Traditional CAC assessment requires gated CT scans, leading to increased radiation exposure and the need for specialized personnel. This study aims to develop an artificial intelligence (AI) method to automatically detect CAC from non-gated, freely-breathing, low-dose CT images obtained from positron emission tomography/computed tomography scans.

Statin Use and the Risk of Graves' Orbitopathy: A Nationwide Population-Based Cohort Study.

Statin use is reported to reduce the risk of Graves' orbitopathy (GO) in Western populations. However, study regarding the protective effect of statins against GO in Asians with Graves' disease (GD) is scarce. This study aims to investigate the efficacy of statins in preventing GO in Asian GD patients.

Predicting Age and Visual-Motor Integration Using Origami Photographs: Deep Learning Study.

Background: Origami is a popular activity among preschool children and can be used by therapists as an evaluation tool to assess children's development in clinical settings. It is easy to implement, appealing to children, and time-efficient, requiring only simple materials-pieces of paper. Furthermore, the products of origami may reflect children's ages and their visual-motor integration (VMI) development.

Aspirin use reduces cancer risk in betel nut chewers: a nationwide population-based cohort study.

Betel nut chewing, common in several Asian populations, is linked to increased cancer risk, including oral, esophageal, gastric, and hepatocellular carcinoma. Aspirin shows potential as a chemopreventive agent. This study investigates the association between aspirin use and cancer risk among betel nut chewers.

A two-stage deep learning-based hybrid model for daily wind speed forecasting.

Global adoption of wind energy continues to increase, while improving the efficiency of turbine settings requires reliable wind speed (WS) models. The latest models rely on artificial intelligence (AI) optimizations which constructs tests on a range of novel hybrid models to examine the reliability. Gradient Boosting (GB), Random Forest (RF), and Long Short-Term Memory (LSTM) are used in new combinations for data pre-processing.

Too Much of a Good Thing: Updated Current Management and Perinatal Outcomes of Polyhydramnios.

Amniotic fluid assessment is crucial in prenatal ultrasound to monitor fetal conditions, with polyhydramnios, characterized by excessive amniotic fluid, affecting 1%-2% of pregnancies. Polyhydramnios is linked to complications such as placental abruption, preterm labor, congenital anomalies, and postpartum hemorrhage, emphasizing the need for early detection and management. While idiopathic causes account for 60%-70% of cases, other causes include impaired fetal swallowing and increased urine production due to maternal, fetal, and placental conditions.

Development and Validation of the Spiritual and Religious Needs Inventory for Muslim Psychiatric Inpatients: A Study in the Indonesian Context.

Spirituality care plays an important role in holistic healthcare. Our previous study found Muslim psychiatric inpatients encounter significant obstacles that hinder their ability to engage in a formal prayer practice in the hospital. To address this gap, we aimed to develop a spirituality and religious needs inventory specifically for Muslim psychiatric inpatients.

Vision-based postural balance assessment of sit-to-stand transitions performed by younger and older adults.

Background: The use of inertial measurement units (IMUs) in assessing fall risk is often limited by subject discomfort and challenges in data interpretation. Additionally, there is a scarcity of research on attitude estimation features. To address these issues, we explored novel features and representation methods in the context of sit-to-stand transitions.

Unlocking Vision Care Accessibility: Evaluating Caregivers' Willingness to Pay in Specialised Eye Clinics for Family Members With Intellectual Disabilities.

Background: People with intellectual disabilities (IDs) require more vision care but encounter considerable challenges during eye examinations. Specialised clinics established specifically for people with IDs are generally limited. This study aims to evaluate primary family caregivers' willingness to pay (WTP) for specialised ophthalmology services designed for people with IDs.

The Construction of a Stream Service Application with DeepStream and Simple Realtime Server Using Containerization for Edge Computing.

This paper addresses the increasing demand for efficient and scalable streaming service applications within the context of edge computing, utilizing NVIDIA Jetson Xavier NX hardware and Docker. The study evaluates the performance of DeepStream and Simple Realtime Server, demonstrating that containerized applications can achieve performance levels comparable to traditional physical machines. The results indicate that WebRTC provides superior low-latency capabilities, achieving delays of around 5 s, while HLS typically experiences delays exceeding 10 s.